Ming Wu
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
-
- Inflammasome and immune disorders 9
- Epidemiology 31
- Sepsis Diagnosis and Treatment 13
- Co-authors
- Shan Song (12 shared papers)Haijiang Wu (10 shared papers)Chunyang Du (10 shared papers)Huijun Duan (9 shared papers)Richard A. Keller (5 shared papers)Peter M. Goodwin (5 shared papers)W. Patrick Ambrose (3 shared papers)Yonghong Shi (9 shared papers)
- Journals
- The Journal of Chemical Physics (11 papers)Journal of Controlled Release (5 papers)Biochemical and Biophysical Research Communications (4 papers)Applied Spectroscopy (3 papers)Frontiers in Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming Wu
168 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 166
- Nephrology 364
- Biophysics 275
- Biomaterials 386
- Clinical Biochemistry 164
- Transplantation 44
Countries citing papers authored by Ming Wu
This map shows the geographic impact of Ming Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu more than expected).
Fields of papers citing papers by Ming Wu
This network shows the impact of papers produced by Ming Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Wu. The network helps show where Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 174 | |
| 2 | 2018 | 158 | |
| 3 | 2013 | 154 | |
| 4 | 2021 | 139 | |
| 5 | 2015 | 106 | |
| 6 | 2022 | 104 | |
| 7 | 2020 | 97 | |
| 8 | 2000 | 83 | |
| 9 | 2018 | 74 | |
| 10 | 2018 | 73 | |
| 11 | 2001 | 68 | |
| 12 | 1996 | 62 | |
| 13 | 2015 | 53 | |
| 14 | 2019 | 52 | |
| 15 | 2022 | 49 | |
| 16 | 2015 | 48 | |
| 17 | 1994 | 45 | |
| 18 | 2020 | 44 | |
| 19 | 2016 | 43 | |
| 20 | 2000 | 42 |
About Ming Wu
Ming Wu is a scholar working on Molecular Biology, Epidemiology, Surgery, Atomic and Molecular Physics, and Optics and Physiology, having authored 180 papers that have together received 3.4k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (13 papers), Advanced Chemical Physics Studies (12 papers), Nanoparticle-Based Drug Delivery (11 papers), Inflammasome and immune disorders (9 papers), COVID-19 Clinical Research Studies (9 papers), Spectroscopy and Laser Applications (8 papers), Thermoregulation and physiological responses (8 papers) and Climate Change and Health Impacts (7 papers). The work is most often cited by research in Nephrology (364 citations), Biophysics (275 citations), Biomaterials (386 citations), Clinical Biochemistry (164 citations) and Transplantation (44 citations). Ming Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shan Song, Haijiang Wu, Chunyang Du, Huijun Duan, Richard A. Keller, Peter M. Goodwin, W. Patrick Ambrose, Yonghong Shi, Philip M. Johnson and Trevor J. Sears. Their work appears in journals such as The Journal of Chemical Physics, Journal of Controlled Release, Biochemical and Biophysical Research Communications, Applied Spectroscopy and Frontiers in Pharmacology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.